Interaction between PPAR γ and SORL1 gene with Late-Onset Alzheimer’s disease in Chinese Han Population

// Hui Zhang 1,* , Wei Zheng 2,* , Linlin Hua 2 , Yutong Wang 3 , Jinfeng Li 1 , Hongying Bai 4 , Shanshan Wang 1 , Mingyao Du 1 , Xuelian Ma 1 , Chunyang Xu 4 , Xiaodong Li 4 , Bin Gong 1 and Yunliang Wang 4,1 1 Department of Neurology, The 148 Central Hospital of PLA, Shandong, China 2 The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China 3 Medical College of Henan University, Kaifeng, China 4 Department of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China * These authors have contributed equally to this work Correspondence: to Yunliang Wang, email: // Bin Gong, email: // Keywords : SORL1; PPAR G; single nucleotide polymorphism; alcohol drinking; interaction Received : January 10, 2017 Accepted : February 12, 2017 Published : February 25, 2017 Abstract Aims: To investigate the impact of sortilin-related receptor 1 gene 1 ( SORL1) and peroxisome proliferator activated receptor gamma ( PPAR G) gene single nucleotide polymorphisms (SNPs), gene- gene and gene- environment interactions and haplotype on late-onset Alzheimer’s disease (LOAD) risk. Methods: Hardy-Weinberg equilibrium (HWE), haplotype analysis and pairwise linkage disequilibrium (LD) analysis were investigated by using SNPStats (available online at http://bioinfo.iconcologia.net/SNPstats). Logistic regression was performed to investigate association between SNPs and LOAD. Generalized multifactor dimensionality reduction (GMDR) was used to investigate the interaction among gene- gene and gene- environment interaction. Results: Logistic regression analysis showed that LOAD risk was significantly higher in carriers of the A allele of rs1784933 polymorphism than those with GG (GA+ AA versus GG), adjusted OR (95%CI) = 1.63(1.27-1.98), and higher in carriers of G allele of the rs1805192 polymorphism than those with CC (CG+ GG versus CC), adjusted OR (95%CI) = 1.70 (1.25-2.27). GMDR analysis suggested a significant two-locus model ( p = 0.0010) involving rs1784933 and rs1805192, and a significant two-locus model ( p = 0.0100) involving rs1784933 and alcohol drinking. Haplotype containing the rs1784933- A and rs689021- C alleles were associated with a statistically increased LOAD risk (OR = 1.86, 95%CI = 1.37– 2.52, p < 0.001). Conclusions: We conclude that rs1784933 and rs1805192 minor alleles, gene- gene interaction between rs1784933 and rs1805192, gene- environment interaction between rs1784933 and alcohol drinking, and haplotype containing the rs1784933- A and rs689021- C alleles are all associated with increased LOAD risk.